This course will teach you how to perform data analysis using MongoDB's powerful Aggregation Framework. You'll begin this course by building a foundation of essential aggregation knowledge. By understanding these features of the Aggregation Framework you will learn how to ask complex questions of your data. This will lay the groundwork for the remainder of the course where you'll dive deep and learn about schema design, relational data migrations, and machine learning with MongoDB. By the end of this course you'll understand how to best use MongoDB and its Aggregation Framework in your own data science workflow.
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Using Expressions
Skills You'll Learn
Data Analysis, Data Manipulation, Data Processing, Query Languages, Data Structures, Network Analysis, Unstructured Data, Data Migration, Data Transformation, Machine Learning, MongoDB, Database Systems, NoSQL
Reviews
4.5 (63 ratings)
- 5 stars58.73%
- 4 stars33.33%
- 3 stars6.34%
- 2 stars1.58%
ZZ
Sep 9, 2019
Very clear introduction to the MongoDB Aggregation Framework. Interesting and comprehensive data analysis examples as well!
DR
Oct 21, 2020
Great course! It covers the essential and advanced uses of MongoDB. I highly recommend it.
From the lesson
The Fundamentals of MongoDB Aggregation
In this module you'll learn the fundamentals of MongoDB's Aggregation Framework. This will cover basics like filtering and sorting, as well as how to transform array data, how to group documents together, how to join data, and how to traverse graph data.
Taught By
Nathan Leniz
Curriculum Engineer
Kirby Kohlmorgen
Senior Curriculum Engineer